Artificial Intelligence in e-health Framework, Volume Two: Telemedicine Applications, Drug Delivery, Augmented Reality, and Robotics offers a comprehensive exploration of AI's role in enhancing medical solutions. Through a focus on machine learning, deep learning, and their practical applications, this book aims to bridge the gap between theoretical advancements and real-world healthcare implementations. In addition to telemedicine advancements, the book explores AI-driven drug discovery, virtual and augmented reality innovations, robotics in medicine, and radiotherapy applications. It serves as an indispensable resource for professionals, researchers, and students eager to deepen their understanding of AI's contributions to modern healthcare. - Provides an in-depth introduction to Artificial Intelligence in an e-health framework- Reviews theoretical and application information to develop our understanding of AI advances in telemedicine, drug development, virtual and augmented reality, robotics, and radiotherapy applications- Discusses advanced AI techniques in both treatment planning and AI-based quality assurance for solving healthcare industry issues

Artificial Intelligence in e-health Framework, Volume Two: Telemedicine Applications, Drug Delivery, Augmented Reality, and Robotics offers a comprehensive exploration of AI's role in enhancing medical solutions. Through a focus on machine learning, deep learning, and their practical applications, this book aims to bridge the gap between theoretical advancements and real-world healthcare implementations. In addition to telemedicine advancements, the book explores AI-driven drug discovery, virtual and augmented reality innovations, robotics in medicine, and radiotherapy applications. It serves as an indispensable resource for professionals, researchers, and students eager to deepen their understanding of AI's contributions to modern healthcare. - Provides an in-depth introduction to Artificial Intelligence in an e-health framework- Reviews theoretical and application information to develop our understanding of AI advances in telemedicine, drug development, virtual and augmented reality, robotics, and radiotherapy applications- Discusses advanced AI techniques in both treatment planning and AI-based quality assurance for solving healthcare industry issues

Artificial Intelligence in e-health Framework, Volume Two: Telemedicine Applications, Drug Delivery, Augmented Reality, and Robotics offers a comprehensive exploration of AI's role in enhancing medical solutions. Through a focus on machine learning, deep learning, and their practical applications, this book aims to bridge the gap between theoretical advancements and real-world healthcare implementations. In addition to telemedicine advancements, the book explores AI-driven drug discovery, virtual and augmented reality innovations, robotics in medicine, and radiotherapy applications. It serves as an indispensable resource for professionals, researchers, and students eager to deepen their understanding of AI's contributions to modern healthcare. - Provides an in-depth introduction to Artificial Intelligence in an e-health framework- Reviews theoretical and application information to develop our understanding of AI advances in telemedicine, drug development, virtual and augmented reality, robotics, and radiotherapy applications- Discusses advanced AI techniques in both treatment planning and AI-based quality assurance for solving healthcare industry issues